We have an opening for a highly motivated Postdoctoral Researcher to conduct research in computational structural biology and develop bioinformatic methods for predicting protein-protein interactions in host-pathogen systems using evolutionary and structural information. Current structure prediction tools, such as RoseTTAFold3, AlphaFold3, and ESMFold2, excel at monomeric structure prediction and at predicting known protein complexes. However, these tools struggle to identify which proteins interact and which do not. Residue-residue coevolution can be leveraged to predict interactions within organisms, but these signals are challenging to extract for interactions between organisms. You will build and leverage large protein sequence datasets to enable accurate interaction prediction and apply these methods to identify novel biological systems. You will be an integral member of an interdisciplinary, cross-institutional team working with computational biologists and experimental biologists. You will leverage existing computational tools and develop new approaches for predicting binary interactions, interaction specificity, and protein structure. You will regularly present your work and publish your research findings, including through occasional travel to collaborate with external partners and attend conferences. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. Interested candidates should submit a complete application that includes:  Cover letter (1-2pgs) describing the following:  Research interests A description of graduate work and greatest scientific accomplishments How previous work (postgraduate/graduate/prior research experience) makes you a strong candidate for developing bioinformatic methods for predicting protein-protein interactions What are your career goals (briefly) How do you seek to approach this research area? (~1 paragraph)  Curriculum vitae including full publication list  Contact information for three professional references  A complete application includes a cover letter, CV, and references. Incomplete applications will not be considered. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. In this role, you will Conduct research, and contribute to designing, analyzing, and extending sequence and structure based bioinformatic tools to develop databases that will enable protein-protein interaction predictions. Interpret new/understudied biological systems through protein structure prediction. Contribute to the development of protein sequence and structure computational frameworks and analysis tools. Develop structure-based distillation datasets for team members to improve ML model development. Collaborate with external partners (Universities, Industry, other National Laboratories) to advance computational biology simulation efforts. Prepare complex and detailed progress reports, written analyses, and verbal briefings to support project needs and deadlines and to present research results to sponsors. Independently pursue the development of new and innovative research methods relevant to the needs of Laboratory programs and/or external funding agencies. Contribute to proposals and statements of work. Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meetings. Travel as needed to coordinate with research collaborators and to attend external meetings and conferences. Perform other duties as assigned.